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Dean

scientist · 2 mentions across 1 reading

In this course

Dean co-authored an early agent-based model reconstructing Anasazi settlement patterns in Long House Valley by linking dendrochronological climate data to simulated maize yields and population dynamics. The work exemplifies how computational modeling can reverse-engineer historical human behavior from environmental constraints, a foundational approach in the intersection of complexity science and cultural systems that the course explores as a precursor to contemporary AI modeling of social systems.

Mentioned in 1 reading

Pandaemonium Architecture 6.0 — ATEK-639/439 — Fall 2025